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The use of hyperspectral analysis for ink identification in handwritten documents

机译：高光谱分析在手写文档中识别墨水的应用

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Hyperspectral analysis is employed in many different areas, such as medicine, environmental studies, security and forensics. Focusing on law enforcement, ink discrimination has become an important factor for the detection of fraudulent documents. This paper proposes an approach for ink analysis in handwritten documents and pen verification using hyperspectral analysis and Least Square SVM classification. The proposed method obtains immediate results in a non-contact way from the document or test sample. The first step is to determine the best possible lighting conditions. Then a detailed study is made of components and properties of the ink and pens used. This paper proposes a classification method based on the hyperspectral characteristics of the ink derived from its physical properties. Furthermore, a database of hyperspectral curves of several types of inks is made, which is used to obtain the characteristics of different inks. The proposed method for automated ink type identification is tested using 25 different pens and more than 1000 samples. The achieved discrimination between types of ink was 87.5%. The experimental protocol includes three different scenarios.
机译：高光谱分析被用于许多不同的领域，例如医学，环境研究，安全和法医。着眼于执法，墨水歧视已成为检测欺诈性文件的重要因素。本文提出了一种使用高光谱分析和最小二乘SVM分类进行手写文档中墨水分析和笔验证的方法。所提出的方法以非接触方式从文档或测试样品中获得即时结果。第一步是确定最佳的照明条件。然后对所使用的墨水和笔的成分和特性进行了详细的研究。本文提出了一种基于墨水物理特性的高光谱特征分类方法。此外，建立了几种墨水的高光谱曲线数据库，该数据库用于获得不同墨水的特性。使用25种不同的笔和1000多个样本测试了建议的自动墨水类型识别方法。所实现的墨水类型之间的辨别率为87.5％。实验协议包括三种不同的方案。

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